用矩阵指数法模拟微分代数系统的暂态电路

Pengwen Chen, Chung-Kuan Cheng, Dongwon Park, Xinyuan Wang
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引用次数: 6

摘要

由于大量的晶体管、互连和紧凑的设计余量,瞬态仿真成为现代集成电路设计的瓶颈。对于修正节点分析(MNA)公式,我们可以有微分代数方程(DAEs),它由常微分方程(ode)和代数方程组成。用传统的多步积分方法求解DAEs是近几十年来的一个研究课题。我们采用基于矩阵指数的积分法进行电路暂态分析,但其稳定性和准确性仍然是一个有待解决的问题。我们发现,在用有理Krylov方法计算矩阵指数与向量积(MEVP)时,潜在的稳定性问题源于DAEs中的奇异系统矩阵。然后,我们设计了一个鲁棒算法来隐式正则化系统矩阵,同时保持其稀疏性。该方法将$\varphi$函数应用于MEVP,提高了结果的准确性。此外,我们的框架不再受步长限制,因此采用较大的跳跃步来跳过中间的许多模拟步骤。在大规模电网中验证了该算法的特点,取得了较高的效率和精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transient Circuit Simulation for Differential Algebraic Systems using Matrix Exponential
Transient simulation becomes a bottleneck for modern IC designs due to large numbers of transistors, interconnects and tight design margins. For modified nodal analysis (MNA) formulation, we could have differential algebraic equations (DAEs) which consist ordinary differential equations (ODEs) and algebraic equations. Study of solving DAEs with conventional multi-step integration methods has been a research topic in the last few decades. We adopt matrix exponential based integration method for circuit transient analysis, its stability and accuracy with DAEs remain an open problem. We identify that potential stability issues in the calculation of matrix exponential and vector product (MEVP) with rational Krylov method are originated from the singular system matrix in DAEs. We then devise a robust algorithm to implicitly regularize the system matrix while maintaining its sparsity. With the new approach, $\varphi$ functions are applied for MEVP to improve the accuracy of results. Moreover our framework no longer suffers from the limitation on step sizes thus a large leap step is adopted to skip many simulation steps in between. Features of the algorithm are validated on large-scale power delivery networks which achieve high efficiency and accuracy.
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